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roam-research-mcp MCP Server

2b3pro/roam-research-mcp

Score: 88.3 ↑ 6.4% Rank #489 MCP Server
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MCP Server and CLI tool for Roam Research Graph Integration

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Overview

2b3pro/roam-research-mcp is a TypeScript MCP server licensed under MIT. MCP Server and CLI tool for Roam Research Graph Integration

Ranked #489 out of 24846 indexed tools.

In the top 2% of all indexed tools.

Ecosystem

TypeScript MIT 383 weekly downloads 25 tool calls

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 101

101 stars → growing community

Freshness 25% 24d ago

Last commit 24d ago → recently updated

Issue Health 25% 100%

8/8 issues closed → responsive maintainer

Contributors 10% 6

6 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 18
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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AgentRank score for 2b3pro/roam-research-mcp
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Matched Queries

"mcp server""mcp-server"

From the README

# Roam Research MCP + CLI

<a href="https://glama.ai/mcp/servers/fzfznyaflu"></a>
<a href="https://mseep.ai/app/2b3pro-roam-research-mcp"></a>

## Introduction

I created this project to solve a personal problem: I wanted to manage my Roam Research graph directly from **Claude Code** (and other LLMs). As I built the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server to give AI agents access to my notes, I realized the underlying tools were powerful enough to stand on their own.

What started as an backend for AI agents evolved into a full-featured **Standalone CLI**. Now, you can use the same powerful API capabilities directly from your terminal—piping content into Roam, searching your graph, and managing tasks—without needing an LLM at all.

Whether you want to give Claude superpowers over your knowledge base or just want a robust CLI for your own scripts, this project has you covered.

## What's New in v5.0

**In one line:** `roam save` now has one flag for each 
Read full README on GitHub →

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